The standard sequence-to-sequence architecture [1]} is typically used in question generation approaches [2]}, [3]}.
Although answer-aware approaches allow for the generation of multiple questions conditioned on the same passage [4]}, providing the answer during inference is not possible in fact-checking since one would typically ask questions about what is missing from the claim.
Other work includes question generation for question answering [5]}, question generation for educational purposes [6]}, and poll question generation from social media posts [7]}. Furthermore, [8]} evaluated rewards in question generation, showed that they did not correlate with human judgments, and explained why rewards did not help when using reinforcement learning.
